AMF-U-Net Improves Boundary-Aware Brain Tumor Segmentation
The AMF-U-Net, a new multi-stream residual 3D U-Net model, achieves a macro-average Dice score of 0.815 in brain tumor segmentation by using four separate encoders to process T1, contrast-enhanced T1, T2, and FLAIR MRI images. This architecture addresses challenges like irregular tumor boundaries and class imbalance by integrating modality-specific feature extraction with attention-guided decoders, according … Read more